Diet Management Study on Indian Population Through Optimization Models—The Way Towards Reaching Blue Zone’s Lifestyle

Abstract

Purpose: The purpose of the study is to investigate blue zones lifestyle on Indian diet management system through optimized diet plans. The study explores menu planning with plant-based, animal and dairy-based recipes promoting longevity and reduction of chronic diseases in India. Design/Methodology/Approach: The macro and micro nutrients data is collected for the regionally available food items in India. The study proposed linear programming problems to maximize the calories with 66 food items, satisfying the Required Nutrient Intake (RNI) for normal individuals living in rural and urban areas of India. Findings: Three optimization models such as Linear Programming Problem (LPP), Integer Linear Programming (ILP) and Stigler’s diet programming (SDP) were proposed for selecting menus with varying calorie ranges (1900–3100 kcal). The percentage of nutrients contained in the diet plans were close to blue zones food guidelines adoptable to Indian population. Originality/Value: The revised Stigler Diet Problem (SDP) have well optimized objective function with highest accommodation of recipes in optimal menus. This approach is helpful to nutritionists and dieticians for preparing the affordable diet plans for distinct income groups. Also, the study provides insights to policy makers working on improving the health conditions of people by adopting the blue zone diet.